Senior Analytics Engineer

Full-time - Senior

Hybrid - New York, NY

Professional, Scientific, and Technical Services

About the position

As a Senior Analytics Engineer at Justworks, you will play a crucial role in transforming raw data into high-quality data models that are easily queried and understood by various business units. You will work closely with data engineers, analysts, and stakeholders to develop and iterate on technical data requirements, ensuring that data models are put into production effectively. Your contributions will directly support enhanced operations and decision-making as we improve the quality of our data assets and scale our data practice.

Responsibilities

• Transform raw data into high-quality data models that are easily queried and understood by various business units (e.g., Sales, Marketing, Product, Engineering, Operations)
• Act as a liaison between engineering and analyst teams to define and advocate for data requirements in order to maximize value from our data.
• Proactively identify opportunities to close gaps in reporting and insights generation by architecting new business facts and dimensions.
• Apply effective data testing and sensitive data management strategies to ensure the quality and security of information provided to the business.
• Level up our information design, data governance, and analytics engineering practices by defining our internal standards for lineage, maintainability, performance, and cost management.
• Provide technical leadership and mentorship to junior and mid-level team members, fostering best practices in data modeling, orchestration, data warehouse architecture, data privacy, and analytics enablement.
• Perform other related duties as assigned.

Requirements

• A minimum of 5 years of professional hands-on experience in analytics engineering, data analytics, data engineering, or a similar role
• Extensive experience transforming raw data into consistent, trustworthy data models for use by analytics and business stakeholders
• Proficient in writing performant SQL and leveraging dbt for data transformation and model management
• Expert understanding of data warehousing concepts for analytics, including dimensional modeling, star schemas, and representation of complex business facts
• Experience with Python or other programming languages commonly used in data engineering
• Strong ability to troubleshoot, optimize, and scale data models for performance and usability
• Comfortable translating complex technical topics for business stakeholders
• Comfortable with Git, command line, and CI/CD best practices
• Comfortable managing workflows using Agile practices
• Ability to solve ambiguous problems independently

Nice-to-haves

• Experience with modern data stack tools (e.g., Fivetran, dbt, Snowflake)
• Experience working in complex, highly dimensional data ecosystems
• Experience implementing sensitive data management solutions and privacy-by-design principles strongly preferred

Benefits

• Wellness program offerings
• Company retreats
• Diversity and inclusion initiatives
• Supportive and entrepreneurial work environment